AdImage: Video advertising by image matching and ad scheduling optimization
Journal
31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages
767-768
ISBN
9781605581644
Date Issued
2008
Author(s)
Abstract
With the prevalence of recording devices and the ease of media sharing, consumers are embracing huge amounts of Internet videos. There arise the needs for effective video advertisement systems following their phenomenal success in text. We propose a novel advertising system, AdImage, which automatically associates relevant ads by matching characteristic images, referred to as adImages (analogous to adWords) here. The proposed image matching method is invariant to certain distortions commonly observed in shared videos. AdImage also avoids the pitfalls of poor tagging qualities in shared videos and provides a brand-new venue to specify ad targets by image objects. Moreover, we formulate the image matching scores and the parameterized bidding information as a nonlinear optimization problem for maximizing the system revenues and user perception.
Subjects
AdImage; Content-aware; Image matching; Web video advertising
SDGs
Type
conference paper